About DELT4
Enterprise experience. Modern AI engineering.
Enterprise AI requires more than access to a model. It requires understanding enterprise systems, architecture, data, processes, controls, economics and implementation.
What it takes
What enterprise AI actually requires
Enterprise systems
How the platforms that run the business actually behave.
Architecture
Where a system belongs, and what it must not break.
Data
What is available, what it means, and how far it can be trusted.
Processes
How work really flows, as distinct from how it is documented.
Controls
Verification, reconciliation, approval and oversight.
Economics
Whether the change creates value worth having.
Implementation
Getting it into production and keeping it there.
The experience
More than 80 years of combined enterprise systems experience, across SAP planning and analytics, enterprise finance, enterprise architecture and AI engineering - in organisations from mining, energy and transport to government, pharmaceuticals and food.
Enterprise experience
The product story
That experience led to Zunox.
Zunox was created from the need for stronger evidence about how enterprise work actually happens, and where automation can create measurable capacity.
It is our own answer to a problem we kept seeing: organisations that can measure cost and headcount, but cannot explain - with evidence - where operational capacity is consumed.